Showing 6 of total 6 results (show query)
r-lib
rprojroot:Finding Files in Project Subdirectories
Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Maintained by Kirill Müller. Last updated 2 months ago.
150 stars 16.70 score 1.4k scripts 1.4k dependents
modal-inria
Rankcluster:Model-Based Clustering for Multivariate Partial Ranking Data
Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) <doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.
Maintained by Quentin Grimonprez. Last updated 2 years ago.
clusteringhacktoberfestrankcpp
1 stars 5.05 score 37 scripts 1 dependents
fernandalschumacher
skewlmm:Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.
Maintained by Fernanda L. Schumacher. Last updated 2 months ago.
6 stars 4.43 score 10 scripts
mmarinj
Bayesiantreg:Bayesian t Regression for Modeling Mean and Scale Parameters
Performs Bayesian t Regression where mean and scale parameters are modeling by lineal regression structures, and the degrees of freedom parameters are estimated.
Maintained by Margarita Marin. Last updated 1 years ago.
1.00 score
cran
NegBinBetaBinreg:Negative Binomial and Beta Binomial Bayesian Regression Models
The Negative Binomial regression with mean and shape modeling and mean and variance modeling and Beta Binomial regression with mean and dispersion modeling.
Maintained by Edilberto Cepeda. Last updated 8 years ago.
1.00 score
arturloza
Bayesiangammareg:Bayesian Gamma Regression: Joint Mean and Shape Modeling
Adjust the Gamma regression models from a Bayesian perspective described by Cepeda and Urdinola (2012) <doi:10.1080/03610918.2011.600500>, modeling the parameters of mean and shape and using different link functions for the parameter associated to the mean. And calculates different adjustment statistics such as the Akaike information criterion and Bayesian information criterion.
Maintained by Arturo Camargo Lozano. Last updated 5 years ago.
1.00 score